Image segmentation consists of partitioning an image into different regions that share certain characteristics. This is a fundamental task in computer vision, facial recognition, and medical imaging. For example, an image segmentation algorithm can automatically detect the contours of an organ in a medical image.
The scikit-image provides several segmentation methods. In this recipe, we will demonstrate how to segment an image containing different objects. This recipe is inspired by a scikit-image example available at http://scikit-image.org/docs/dev/user_guide/tutorial_segmentation.html
Let's import the packages:
>>> import numpy as np import matplotlib.pyplot as plt from skimage.data import coins from skimage.filters import threshold_otsu from skimage.segmentation import clear_border from skimage.morphology import label, closing, square from skimage.measure import regionprops from skimage.color import lab2rgb %matplotlib...